The researchers explained that cognitive and neuroscientists are trying to understand how neural
A team of scientists proposed to create a concepta mathematical model of the brain called "interacting recurrent networks." In this model, the brain is divided into a finite number of regions, each of which contains several million neurons. Within each area, neurons interact with each other, with all of them having connections to several other areas. These interregional connections can be excited or inhibited.
This model already provides randomness,plasticity and inhibition. Randomness means that neurons in each area of the brain are connected in a random way. In addition, different areas have random connections with each other. Plasticity allows the connections between neurons and regions to change under the influence of experience and learning. And inhibition means that a limited number of neurons are fired at any given time.
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Together with a group of scientists from variousacademic institutions, researchers have detailed this model in the scientific journal Proceedings of the National Academy of Sciences. While the model is at the assembly level, it can perform a set of operations that allow you to process, store and retrieve information.
Researchers suggest that assemblies andassembly calculus is the correct model to explain cognitive functions of the brain such as reasoning, planning, and language. However, most of the knowledge can correspond to this model.
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